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Junjie Wang 0001
Person information
- affiliation: Chinese Academy of Sciences, Laboratory for Internet Software Technologies, Institute of Software, Beijing, China
Other persons with the same name
- Junjie Wang (aka: JunJie Wang, Jun-jie Wang, Jun-Jie Wang) — disambiguation page
- Junjie Wang 0002
— City University of Hong Kong, Shenzhen Research Institute, Shenzhen, China
- Junjie Wang 0003
- Junjie Wang 0004
- Junjie Wang 0005
- Junjie Wang 0006 — University of Science and Technology of China, Suzhou, Jiangsu, China
- Junjie Wang 0007
- Junjie Wang 0008
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2020 – today
- 2024
- [j15]Jiho Shin
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. ACM Trans. Softw. Eng. Methodol. 33(2): 51:1-51:24 (2024) - [j14]Junjie Wang
Software Testing With Large Language Models: Survey, Landscape, and Vision. IEEE Trans. Software Eng. 50(4): 911-936 (2024) - [c52]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming (Jack) Jiang:
Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation. BIAS 2024: 46-63 - [c51]Zhe Liu
Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM. CHI 2024: 51:1-51:20 - [c50]Yuchao Huang
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. ICSE 2024: 18:1-18:13 - [c49]Zhe Liu
Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions. ICSE 2024: 100:1-100:13 - [c48]Zhe Liu
Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model. ICSE 2024: 137:1-137:12 - [c47]Moshi Wei
Demystifying and Detecting Misuses of Deep Learning APIs. ICSE 2024: 201:1-201:12 - [c46]Qi Guo
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. ISSTA 2024: 313-324 - [c45]Xuyan Ma
Enhancing Multi-agent System Testing with Diversity-Guided Exploration and Adaptive Critical State Exploitation. ISSTA 2024: 1491-1503 - [c44]Yuekai Huang, Junjie Wang, Song Wang, Rupeng Zhang, Qing Wang:
Which API is Faster: Mining Fine-grained Performance Opinion from Online Discussions. QRS 2024: 608-619 - [i40]Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, Yang Liu:
Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues. CoRR abs/2402.09091 (2024) - [i39]Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang:
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR abs/2402.18393 (2024) - [i38]Zhiyuan Chang, Mingyang Li, Junjie Wang, Cheng Li, Boyu Wu, Fanjiang Xu, Qing Wang:
Adversarial Testing for Visual Grounding via Image-Aware Property Reduction. CoRR abs/2403.01118 (2024) - [i37]Qi Guo, Xiaohong Li, Xiaofei Xie, Shangqing Liu, Ze Tang, Ruitao Feng, Junjie Wang, Jidong Ge, Lei Bu:
FT2Ra: A Fine-Tuning-Inspired Approach to Retrieval-Augmented Code Completion. CoRR abs/2404.01554 (2024) - [i36]Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Yuekai Huang, Jun Hu, Qing Wang:
Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM. CoRR abs/2404.02706 (2024) - [i35]Chenhui Cui, Tao Li, Junjie Wang, Chunyang Chen, Dave Towey, Rubing Huang:
Large Language Models for Mobile GUI Text Input Generation: An Empirical Study. CoRR abs/2404.08948 (2024) - [i34]Zhiyuan Chang, Mingyang Li, Junjie Wang, Yi Liu, Qing Wang, Yang Liu:
Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement. CoRR abs/2406.16272 (2024) - [i33]Zhe Liu, Cheng Li, Chunyang Chen, Junjie Wang, Boyu Wu, Yawen Wang, Jun Hu, Qing Wang:
Vision-driven Automated Mobile GUI Testing via Multimodal Large Language Model. CoRR abs/2407.03037 (2024) - [i32]Nima Shiri Harzevili, Mohammad Mahdi Mohajer, Jiho Shin, Moshi Wei, Gias Uddin, Jinqiu Yang, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
Checker Bug Detection and Repair in Deep Learning Libraries. CoRR abs/2410.06440 (2024) - 2023
- [j13]Moshi Wei
CoCoFuzzing: Testing Neural Code Models With Coverage-Guided Fuzzing. IEEE Trans. Reliab. 72(3): 1276-1289 (2023) - [j12]Zhe Liu
Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding. IEEE Trans. Software Eng. 49(1): 403-418 (2023) - [c43]Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang:
An Empirical Study on the Stability of Explainable Software Defect Prediction. APSEC 2023: 141-150 - [c42]Yawen Wang, Junjie Wang, Hongyu Zhang, Kairui Wang, Qing Wang:
What are Pros and Cons? Stance Detection and Summarization on Feature Request. ESEM 2023: 1-12 - [c41]Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang:
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing. ICSE 2023: 1355-1367 - [c40]Zhiyuan Chang, Mingyang Li, Qing Wang, Shoubin Li, Junjie Wang:
Cross-Domain Requirements Linking via Adversarial-based Domain Adaptation. ICSE 2023: 1596-1608 - [c39]Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Yuekai Huang, Jun Hu, Qing Wang:
Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network. ICSE 2023: 1983-1995 - [c38]Yuchao Huang, Junjie Wang, Zhe Liu, Song Wang, Chunyang Chen, Mingyang Li, Qing Wang:
Context-aware Bug Reproduction for Mobile Apps. ICSE 2023: 2336-2348 - [c37]Kairui Wang, Yawen Wang, Junjie Wang, Qing Wang:
Fuzzing with Sequence Diversity Inference for Sequential Decision-making Model Testing. ISSRE 2023: 706-717 - [c36]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? ISSRE 2023: 795-806 - [c35]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. MSR 2023: 27-38 - [c34]Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang:
Identifying Emergent Leadership in Open Source Software Projects Based on Communication Styles. SANER 2023: 73-84 - [i31]Jiho Shin, Moshi Wei, Junjie Wang, Lin Shi, Song Wang:
The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. CoRR abs/2305.09082 (2023) - [i30]Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang:
Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing. CoRR abs/2305.09434 (2023) - [i29]Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan:
A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning. CoRR abs/2306.11673 (2023) - [i28]Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang:
Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. CoRR abs/2307.00404 (2023) - [i27]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan:
Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet? CoRR abs/2307.04080 (2023) - [i26]Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, Qing Wang:
Software Testing with Large Language Model: Survey, Landscape, and Vision. CoRR abs/2307.07221 (2023) - [i25]Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang:
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation. CoRR abs/2307.11298 (2023) - [i24]Yuchao Huang, Junjie Wang, Zhe Liu, Yawen Wang, Song Wang, Chunyang Chen, Yuanzhe Hu, Qing Wang:
CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace. CoRR abs/2310.07128 (2023) - [i23]Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang:
Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model. CoRR abs/2310.15657 (2023) - [i22]Zhe Liu, Chunyang Chen, Junjie Wang, Mengzhuo Chen, Boyu Wu, Xing Che, Dandan Wang, Qing Wang:
Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions. CoRR abs/2310.15780 (2023) - [i21]Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang:
A Survey on Query-based API Recommendation. CoRR abs/2312.10623 (2023) - 2022
- [b1]Qing Wang, Zhenyu Chen, Junjie Wang, Yang Feng:
Intelligent Crowdsourced Testing. Springer 2022, ISBN 978-981-16-9642-8, pp. 1-251 - [j11]Mingyang Li, Lin Shi
Automated data function extraction from textual requirements by leveraging semi-supervised CRF and language model. Inf. Softw. Technol. 143: 106770 (2022) - [j10]Yuchao Huang
Yet another combination of IR- and neural-based comment generation. Inf. Softw. Technol. 152: 107001 (2022) - [j9]Junjie Wang, Ye Yang, Song Wang, Jun Hu, Qing Wang:
Context- and Fairness-Aware In-Process Crowdworker Recommendation. ACM Trans. Softw. Eng. Methodol. 31(3): 35:1-35:31 (2022) - [j8]Junjie Wang
Context-Aware Personalized Crowdtesting Task Recommendation. IEEE Trans. Software Eng. 48(8): 3131-3144 (2022) - [c33]Zhe Liu
Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves. CHI 2022: 557:1-557:14 - [c32]Yingling Li, Xing Che, Yuekai Huang, Junjie Wang, Song Wang, Yawen Wang, Qing Wang:
A Tale of Two Tasks: Automated Issue Priority Prediction with Deep Multi-task Learning. ESEM 2022: 1-11 - [c31]Zhe Liu
NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves. ICSE-Companion 2022: 154-158 - [c30]Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang:
CLEAR: Contrastive Learning for API Recommendation. ICSE 2022: 376-387 - [c29]Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi
Where is Your App Frustrating Users? ICSE 2022: 2427-2439 - [c28]Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find bugs in static bug finders. ICPC 2022: 516-527 - [c27]Yuhui Su
The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps. ASE 2022: 101:1-101:12 - [c26]Lin Shi
Are we building on the rock? on the importance of data preprocessing for code summarization. ESEC/SIGSOFT FSE 2022: 107-119 - [c25]Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang:
API recommendation for machine learning libraries: how far are we? ESEC/SIGSOFT FSE 2022: 370-381 - [c24]Zhiyuan Chang, Mingyang Li, Junjie Wang, Qing Wang, Shoubin Li:
Putting them under microscope: a fine-grained approach for detecting redundant test cases in natural language. ESEC/SIGSOFT FSE 2022: 1161-1172 - [i20]Yuekai Huang, Ye Yang, Junjie Wang, Wei Zheng, Qing Wang:
Identifying Emergent Leadership in OSS Projects Based on Communication Styles. CoRR abs/2201.11897 (2022) - [i19]Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang:
Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves. CoRR abs/2201.12085 (2022) - [i18]Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang:
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries. CoRR abs/2203.06502 (2022) - [i17]Yawen Wang, Junjie Wang, Hongyu Zhang, Xuran Ming, Lin Shi, Qing Wang:
Where is Your App Frustrating Users? CoRR abs/2204.09310 (2022) - [i16]Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang:
Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding. CoRR abs/2205.13945 (2022) - [i15]Zhe Liu, Chunyang Chen, Junjie Wang, Yuhui Su, Qing Wang:
NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves. CoRR abs/2205.13992 (2022) - [i14]Lin Shi, Fangwen Mu, Xiao Chen, Song Wang, Junjie Wang, Ye Yang, Ge Li, Xin Xia, Qing Wang:
Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization. CoRR abs/2207.05579 (2022) - [i13]Zhiyuan Chang, Mingyang Li, Junjie Wang, Qing Wang, Shoubin Li:
Putting Them under Microscope: A Fine-Grained Approach for Detecting Redundant Test Cases in Natural Language. CoRR abs/2210.01661 (2022) - [i12]Yuhui Su, Chunyang Chen, Junjie Wang, Zhe Liu, Dandan Wang, Shoubin Li, Qing Wang:
The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps. CoRR abs/2212.04388 (2022) - [i11]Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, Qing Wang:
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing. CoRR abs/2212.04732 (2022) - 2021
- [j7]Xueqi Yang
Understanding static code warnings: An incremental AI approach. Expert Syst. Appl. 167: 114134 (2021) - [j6]Junjie Wang
Characterizing Crowds to Better Optimize Worker Recommendation in Crowdsourced Testing. IEEE Trans. Software Eng. 47(6): 1259-1276 (2021) - [c23]Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu
Characterizing and Predicting Good First Issues. ESEM 2021: 13:1-13:12 - [c22]Song Wang, Junjie Wang, Jaechang Nam, Nachiappan Nagappan:
Continuous Software Bug Prediction. ESEM 2021: 14:1-14:12 - [c21]Song Wang, Nishtha Shrestha, Abarna Kucheri Subburaman, Junjie Wang, Moshi Wei, Nachiappan Nagappan:
Automatic Unit Test Generation for Machine Learning Libraries: How Far Are We? ICSE 2021: 1548-1560 - [c20]Dandan Wang, Qing Wang, Junjie Wang, Lin Shi
Accept or Not? An Empirical Study on Analyzing the Factors that Affect the Outcomes of Modern Code Review? QRS 2021: 946-955 - [c19]Yuhui Su
OwlEyes-online: a fully automated platform for detecting and localizing UI display issues. ESEC/SIGSOFT FSE 2021: 1500-1504 - [i10]Moshi Wei, Yuchao Huang, Jinqiu Yang, Junjie Wang, Song Wang:
CoCoFuzzing: Testing Neural Code Models with Coverage-Guided Fuzzing. CoRR abs/2106.09242 (2021) - [i9]Yuhui Su, Zhe Liu, Chunyang Chen, Junjie Wang, Qing Wang:
OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues. CoRR abs/2107.02364 (2021) - [i8]Yuchao Huang, Moshi Wei, Song Wang, Junjie Wang, Qing Wang:
Yet Another Combination of IR- and Neural-based Comment Generation. CoRR abs/2107.12938 (2021) - [i7]Junjie Wang, Yuchao Huang, Song Wang, Qing Wang:
Find Bugs in Static Bug Finders. CoRR abs/2109.02245 (2021) - [i6]Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Song Wang:
Explainable Software Defect Prediction: Are We There Yet? CoRR abs/2111.10901 (2021) - 2020
- [j5]Yingling Li, Junjie Wang, Yun Yang, Qing Wang:
An extensive study of class-level and method-level test case selection for continuous integration. J. Syst. Softw. 167: 110614 (2020) - [j4]Junjie Wang, Ye Yang, Qing Wang:
Artificial Intelligence-Powered Worker Engagement in Software Crowdsourcing. IEEE Softw. 37(6): 94-98 (2020) - [j3]Junjie Wang
iSENSE2.0: Improving Completion-aware Crowdtesting Management with Duplicate Tagger and Sanity Checker. ACM Trans. Softw. Eng. Methodol. 29(4): 24:1-24:27 (2020) - [c18]Yuekai Huang, Junjie Wang, Song Wang, Zhe Liu
Quest for the Golden Approach: An Experimental Evaluation of Duplicate Crowdtesting Reports Detection. ESEM 2020: 17:1-17:12 - [c17]Junjie Wang, Ye Yang, Song Wang, Yuanzhe Hu, Dandan Wang, Qing Wang:
Context-aware in-process crowdworker recommendation. ICSE 2020: 1535-1546 - [c16]Zhe Liu
Owl Eyes: Spotting UI Display Issues via Visual Understanding. ASE 2020: 398-409 - [c15]Yuanzhe Hu, Junjie Wang, Jie Hou, Shoubin Li, Qing Wang:
Is There A "Golden" Rule for Code Reviewer Recommendation? : - An Experimental Evaluation. QRS 2020: 497-508 - [i5]Zhe Liu, Chunyang Chen, Junjie Wang, Yuekai Huang, Jun Hu, Qing Wang:
Owl Eyes: Spotting UI Display Issues via Visual Understanding. CoRR abs/2009.01417 (2020)
2010 – 2019
- 2019
- [j2]Junjie Wang
Images don't lie: Duplicate crowdtesting reports detection with screenshot information. Inf. Softw. Technol. 110: 139-155 (2019) - [c14]Lei Chen, Dandan Wang, Junjie Wang, Qing Wang:
Enhancing Unsupervised Requirements Traceability with Sequential Semantics. APSEC 2019: 23-30 - [c13]Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies
iSENSE: completion-aware crowdtesting management. ICSE 2019: 912-923 - [c12]Yingling Li, Junjie Wang, Yun Yang, Qing Wang:
Method-Level Test Selection for Continuous Integration with Static Dependencies and Dynamic Execution Rules. QRS 2019: 350-361 - [c11]Yingling Li, Junjie Wang, Qing Wang, Jun Hu:
A Class-level Test Selection Approach Toward Full Coverage For Continuous Integration. SEKE 2019: 49-70 - [i4]Xueqi Yang, Zhe Yu, Junjie Wang, Tim Menzies:
An Expert System for Learning Software Engineering Knowledge (with Case Studies in Understanding Static Code Warning). CoRR abs/1911.01387 (2019) - 2018
- [c10]Junjie Wang, Song Wang, Qing Wang:
Is there a "golden" feature set for static warning identification?: an experimental evaluation. ESEM 2018: 17:1-17:10 - [i3]Junjie Wang, Ye Yang, Rahul Krishna, Tim Menzies, Qing Wang:
Effective Automated Decision Support for Managing Crowdtesting. CoRR abs/1805.02744 (2018) - [i2]Junjie Wang, Mingyang Li, Song Wang, Tim Menzies, Qing Wang:
Cutting Away the Confusion From Crowdtesting. CoRR abs/1805.02763 (2018) - [i1]Junjie Wang, Ye Yang, Zhe Yu, Tim Menzies, Qing Wang:
Crowdtesting : When is The Party Over? CoRR abs/1805.03218 (2018) - 2017
- [c9]Qiang Cui, Junjie Wang, Guowei Yang
Who Should Be Selected to Perform a Task in Crowdsourced Testing? COMPSAC (1) 2017: 75-84 - [c8]Junjie Wang, Qiang Cui, Song Wang, Qing Wang:
Domain Adaptation for Test Report Classification in Crowdsourced Testing. ICSE-SEIP 2017: 83-92 - [c7]Qiang Cui, Song Wang, Junjie Wang, Yuanzhe Hu, Qing Wang, Mingshu Li:
Multi-Objective Crowd Worker Selection in Crowdsourced Testing. SEKE 2017: 218-223 - 2016
- [j1]Junjie Wang, Qing Wang:
Analyzing and predicting software integration bugs using network analysis on requirements dependency network. Requir. Eng. 21(2): 161-184 (2016) - [c6]Junjie Wang, Qiang Cui, Qing Wang, Song Wang:
Towards Effectively Test Report Classification to Assist Crowdsourced Testing. ESEM 2016: 6:1-6:10 - [c5]Junjie Wang, Song Wang, Qiang Cui, Qing Wang:
Local-based active classification of test report to assist crowdsourced testing. ASE 2016: 190-201 - [c4]Hong Wu, Junjie Wang, Qing Wang, Lin Shi
Stage-oriented Analysis on Factors Impacting Bug Fixing Time. SEKE 2016: 165-170 - 2013
- [c3]Junjie Wang, Juan Li, Qing Wang, Da Yang, He Zhang, Mingshu Li:
Can requirements dependency network be used as early indicator of software integration bugs? RE 2013: 185-194 - 2012
- [c2]Jiangang Wang, Xiaohong Li, Xuhui Liu, Xinshu Dong, Junjie Wang, Zhenkai Liang
An Empirical Study of Dangerous Behaviors in Firefox Extensions. ISC 2012: 188-203 - [c1]Junjie Wang, Juan Li, Qing Wang, He Zhang, Haitao Wang:
A Simulation Approach for Impact Analysis of Requirement Volatility Considering Dependency Change. REFSQ 2012: 59-76
Coauthor Index
[j14] [c51] [c50] [c49] [c48] [c45] [c44] [i40] [i38] [i36] [i34] [i33] [j12] [c42] [c41] [c40] [c39] [c38] [c37] [c34] [i30] [i26] [i24] [i23] [i22] [b1] [j11] [j10] [j9] [j8] [c33] [c32] [c31] [c29] [c28] [c27] [c26] [c24] [i20] [i19] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [j6] [c23] [c20] [c19] [i9] [i8] [i7] [j5] [j4] [j3] [c18] [c17] [c16] [c15] [i5] [j2] [c14] [c13] [c12] [c11] [c10] [i3] [i2] [i1] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [c1]
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